Question

Graphs with Matplotlib Using the library Matplotlib and the provided data files create the following graphs:

I) Pie chart

Create a pie chart that shows the percentage of employees in each department within a company. The provided file: employee_count_by_department.txt contains the data required in order to generate this pie chart.

II) Line Graph

Create a line graph that shows a company's profit over the past ten years. The provided file: last_ten_year_net_profit.txt contains the data required in order to generate this line graph.

III) Bar Graph

Create a bar graph that shows a company's profit over the past ten years. The provided file: last_ten_year_net_profit.txt contains the data required in order to generate this bar graph. Info: Be sure to label all the axes of each graph with meaningful labels and provide an appropriate title to each of the graphs (mentioned above) being generated. Hint, the names of the files and the headers provided in each of the data files should help

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last_ten_year_net_profit.txt

Year ; Profit in $USD

2009 ; $175,000

2010 ; $250,000

2011 ; $525,000

2012 ; $239,000

2013 ; $1,000,000

2014 ; $1,000,500

2015 ; $500,000

2016 ; $740,000

2017 ; $5,625,000

2018 ; $100,000,000

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employee_count_by_department.txt

Department Name    , Total number of employees

Marketing       , 50

Information Technology, 275

Management      , 230

Human Resources    , 250

Finance        , 92

Supply Chain     , 73

Manufacturing     , 30

Answer 1

# matplotlib library
import matplotlib.pyplot as plt

# bar graph
def barGraph(x_values,y_values):
   bargraph = plt.figure(figsize=(6,4))
   plt.bar(x_values,y_values)
   plt.xlabel("year")
   plt.ylabel("profit")
   plt.title("yearly vise profits")
   plt.show()

# pie chart
def pieChart(x_values,y_values):
   piechart = plt.figure(figsize=(6,4))
   plt.pie(y_values, labels = x_values,autopct='%1.2f%%')
   plt.title("percentage of employees department vise")
   plt.show()

# line graph
def lineGraph(x_values,y_values):
   linegraph = plt.figure(figsize=(6,4))
   plt.plot(x_values,y_values)
   plt.xlabel("year")
   plt.ylabel("profit")
   plt.title("yearly vise profits")
   plt.show()

# main function
def main():
   x_values = []
   y_values = []

   # read input file
   with open("last_ten_year_net_profit.txt","r") as rdf:
       lines = rdf.readlines()
       # line by line
       for line in lines[1:]:
           # separate columns by ;
           tup = line.split(";")
           # type conversion
           x_values.append(int(tup[0]))
           value=0
           for i in tup[1]:
               try:
                   value=value*10+int(i)
               except:
                   continue
           y_values.append(value)
   # plot bar graph
   barGraph(x_values,y_values)

   # plot line graph
   lineGraph(x_values,y_values)

   x_values=[]
   y_values=[]
   # read input file
   with open("employee_count_by_department.txt","r") as rdf:
       lines = rdf.readlines()
       # line by line
       for line in lines[1:]:
           # separate columns by ,
           tup = line.split(",")
           # type conversion
           x_values.append(tup[0])
           y_values.append(int(tup[1]))
   # plot pie chart
   pieChart(x_values,y_values)

if __name__ == '__main__':
    main()